pblomaxgeo: The bivariate distribution with Lomax and geometric margins...

In camponsah/BivMixDist: Fit bivariate continous and discrete distributions as well as provide EM algorithm for discrete Pareto

Description

Distribution function for bivariate distribution with Lomax and geometric margins (BLG) distribution with parameters α >0, β > 0 and p in [0,1].

Usage

pblomaxgeo(data, alpha, beta, p, lower.tail = TRUE, log.p = FALSE)

Arguments

data	bivariate vector (X,N) observations from BLG model.
alpha	parameter which must be numeric greater than 0.
beta	parameter which must be numeric greater than 0.
p	numeric parameter between 0 and 1.
lower.tail	logical; if TRUE (default), probabilities are P[X ≤ x, N ≤q n], otherwise, P[X > x, N > n].
log.p	logical; if TRUE, probabilities p are given as log(p).

Details

pblomaxgeo is the distribution function for BLG model.

Value

vector of distribution.

References

Arendarczyk, M. and Kozubowski T. J. and Panorska, A. k. (2018). A bivariate distribution with Lomax and geometric margins . Journal of the Korean Statistical Society, 47:405-422. https://doi.org/10.1016/j.jkss.2018.04.006

Examples

data.df<-rblomaxgeo(20, alpha=1.5, beta=2, p=0.6)
den<-pblomaxgeo(data.df, alpha=1.5, beta=2, p=0.6)
den

camponsah/BivMixDist documentation built on Nov. 15, 2021, 3:11 a.m.